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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect the digital landscape for 2026. We seek a visionary Future Technology Strategist to lead our R&D initiatives in quantum computing, AI ethics, and sustainable tech infrastructure. This pivotal role demands a blend of technical acumen and foresight to shape our innovation roadmap for the next decade.

As a key member of our executive leadership team, you'll collaborate with Fortune 500 partners to prototype next-gen solutions while championing ethical AI deployment. We offer competitive equity packages, unlimited PTO, and a state-of-the-art R&D lab in downtown San Francisco.

Responsibilities

  • Develop 5-year technology roadmaps for quantum computing and AI integration
  • Lead cross-functional teams in prototyping sustainable tech solutions
  • Analyze emerging tech trends to identify market opportunities
  • Present strategic briefings to C-suite executives and board members
  • Manage $5M+ R&D budgets with ROI-focused resource allocation
  • Establish partnerships with academic institutions and tech accelerators
  • Ensure compliance with evolving AI regulatory frameworks

Qualifications

  • Master's degree in Computer Science, Engineering, or related field
  • 10+ years experience in technology strategy or R&D leadership
  • Proven track record in quantum computing or AI implementation
  • Deep understanding of sustainable tech and circular economy principles
  • Exceptional data modeling and scenario planning capabilities
  • Certification in Technology Strategy (CTS) or similar preferred
  • Experience scaling tech initiatives from concept to global deployment
  • Strong public speaking and executive presentation skills

Required Skills

Quantum Computing AI Ethics Strategic Planning Technology Roadmapping Sustainable Tech Data Modeling Executive Leadership R&D Management

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